ai-first-engineering
Engineering operating model for teams where AI agents generate a large share of implementation output.
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- loulanyue/awesome-claude-notes
- Última actividad en el origen
- 3 de mayo de 2026 a las 21:49
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- ai-first-engineering
- description
- Engineering operating model for teams where AI agents generate a large share of implementation output.
- source_path
- skills/ai-first-engineering/SKILL.md
- origin
- ECC
# AI-First Engineering
Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
## Process Shifts
1. Planning quality matters more than typing speed.
2. Eval coverage matters more than anecdotal confidence.
3. Review focus shifts from syntax to system behavior.
## Architecture Requirements
Prefer architectures that are agent-friendly:
- explicit boundaries
- stable contracts
- typed interfaces
- deterministic tests
Avoid implicit behavior spread across hidden conventions.
## Code Review in AI-First Teams
Review for:
- behavior regressions
- security assumptions
- data integrity
- failure handling
- rollout safety
Minimize time spent on style issues already covered by automation.
## Hiring and Evaluation Signals
Strong AI-first engineers:
- decompose ambiguous work cleanly
- define measurable acceptance criteria
- produce high-signal prompts and evals
- enforce risk controls under delivery pressure
## Testing Standard
Raise testing bar for generated code:
- required regression coverage for touched domains
- explicit edge-case assertions
- integration checks for interface boundaries
## Kaynak belge
- [İngilizce kanonik belge](../../../../skills/ai-first-engineering/SKILL.md)
## Gezinme
- [Türkçe dokümantasyon](../../README.md)
- [Katkı rehberi](../../../../CONTRIBUTING.md)
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